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TensorFlow Hub is a repository of trained machine learning models ready for fine-tuning and deployable anywhere. Reuse trained models like BERT and Faster R-CNN with just a few lines of code.
Oct 7, 2023 · TensorFlow Hub is an open repository and library for reusable machine learning. The tfhub.dev repository provides many pre-trained models: text embeddings, image classification models, TF.js/TFLite models and much more.
Apr 15, 2024 · The tensorflow_hub library can be installed alongside TensorFlow 1 and TensorFlow 2. We recommend that new users start with TensorFlow 2 right away, and current users upgrade to it. Use with TensorFlow 2. Use pip to install TensorFlow 2 as usual. (See there for extra instructions about GPU support.)
Dec 17, 2020 · TensorFlow Hub is a comprehensive repository of pre-trained models ready for fine-tuning and deployable anywhere. Download the latest trained models with a minimal amount of code with the tensorflow_hub library.
Apr 3, 2024 · TensorFlow Hub is a repository of pre-trained TensorFlow models. This tutorial demonstrates how to: Use models from TensorFlow Hub with tf.keras. Use an image classification model from TensorFlow Hub. Do simple transfer learning to fine-tune a model for your own image classes.
Mar 9, 2024 · Helper functions for downloading images and for visualization. Apply module. More images. View on TensorFlow.org. Run in Google Colab. View on GitHub. Download notebook. See TF Hub models. This Colab demonstrates use of a TF-Hub module trained to perform object detection.
Mar 30, 2018 · TensorFlow Hub is a platform to publish, discover, and reuse parts of machine learning modules in TensorFlow. By a module, we mean a self-contained piece of a TensorFlow graph, along with its weights, that can be reused across other, similar tasks.
